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Zhihui Wu - IEEE Xplore Author Profile

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Traditional object detection methods suffer from excessively high false alarm rates in scenarios with scarce training samples. To address this issue, this paper proposes a few-shot optical remote sensing object detection method based on shape matching. This method first obtains the sliced mask image of the object within the predicted bounding box in the pre-detection process. Then, the shape conte...Show More
In this paper, the distributed resilient state estimation problem is discussed for fractional-order state-saturated complex networks with nonlinearities and fading measurements. The nonlinear function is assumed to satisfy the Lipschitz condition and the fading measurements appear in a stochastic manner with the related coefficients depicted by random variables with known expectations. The distrib...Show More
This paper tackles the finite-time fault detection (FD) issue for a class of nonlinear systems with deception attacks and mixed time-delays including probability interval delays and distributed delays. For the purpose of alleviating the communication burden, a dynamic event-triggered mechanism (DETM) is introduced to arrange data transmission. The sufficient criteria are obtained to ensure that th...Show More
In this paper, a novel anti-eavesdropping distributed fusion filtering algorithm is proposed for multi-rate nonlinear systems with missing measurements over sensor networks, where the missing measurements are characterized by Bernoulli random variables. During the information exchange of sensor nodes, it is assumed that there exists an eavesdropper. Accordingly, an active contamination strategy is...Show More
This paper is concerned with the problem of finite-time fault detection (FD) for T-S fuzzy systems under the encoding-decoding mechanism (EDM). In order to relieve the communication burden and enhance the transmission reliability, the EDM is introduced in the sensor-to-filter channel. The sufficient conditions are derived to guarantee the finite-time boundedness (FTB) with prescribed H∞ performanc...Show More
The protocol-based memory fault detection (FD) problem under finite-time constraint is investigated for nonlinear networked systems, where the round-robin protocol is adopted to identify which sensor node can release the measured value at each transmission instant. In particular, the past states of the filter are exploited to develop the memory fault detection filter (FDF). Subsequently, the Finsl...Show More
This paper addresses the problem of finite-time fault detection (FD) for nonlinear system with output quantization and randomly occurring faults (ROFs). In order to reduce the burden of network transmission, the event-triggered scheme (ETS) is adopted to schedule the data transmission. The sufficient conditions are derived based on the Lyapunov stability theory to ensure that the residual dynamic ...Show More
This paper discusses the design problem of recursive filtering method for time-varying nonlinear delayed systems (NDSs) with stochastic parameter matrices (SPMs) and censored measurements. In particular, the Tobit Type I model provides a description of the censored measurements. The main objective of this paper is to construct a recursive filter for NDSs with both SPMs and censored measurements. T...Show More
This paper addresses the distributed filtering (DF) problem for time-varying saturated stochastic systems subject to energy harvesting (EH) sensors and time delay through sensor networks. The sufficient energy is a prerequisite for normal data transmission, so the EH technique is considered in the communication network, which can be regarded as an explicit decision, i.e., the sensors have the abil...Show More
In this paper, the variance-constrained recursive state estimation (VCRSE) problem is investigated for a class of uncertain coupling complex dynamical networks (UCCDNs) under node-event-triggered mechanism (NETM), where the situation regarding the sensor with certain resolutions is considered. In order to reduce the frequency of data exchange among different network nodes, the NETM is employed to ...Show More
In this paper, a non-fragile joint state and fault estimation problem is investigated for time-varying complex networks with switching topology and randomly occurring nonlinearities under the missing measurements. The phenomena of the switching topology, randomly occurring nonlinearities and missing measurements are described by three mutually independent Bernoulli random variables, where the unce...Show More
In this paper, the robust fault detection (RFD) problem is studied for uncertain networked systems with time delay and measurement outliers under limited communication condition, where the time delay is presumed to occur randomly and the occurrence probability is considered to be uncertain. Specifically, in order to reduce the communication burden, the stochastic communication protocol (SCP) is in...Show More
The fault detection problem is addressed in this paper for a class of state-saturated systems with time-delay and nonlinearities under communication constraints. In particular, the phenomenon of state saturation is introduced to characterize the physical limitations of the device. Moreover, the event-triggered communication strategy is adopted to achieve the purpose of saving network resources and...Show More
This paper addresses a distributed filtering problem for saturated systems over sensor network with measurement outliers, where the multiplicative noises are used to characterize the internal behaviors of system model. A χ2 detection is first constructed in the distributed filter to detect and remove the outliers existing in the measurement outputs caused by some external environment disturbances ...Show More
The state estimation problem is investigated for a class of discrete-time networked systems with uncertainty and nonlinearity via a coding-decoding communication approach. The signal is transmitted through digital channels, which means that only the sequence of finite coded data is sent to the estimator. To be specific, the observation must be encoded to certain codewords by designing a coder, and...Show More
With the aid of optimal control theory, the cooperative advertising problem is discussed for a supply chain under consignment contract in a competitive environment. Consider the case that the market demand of products is affected by advertising effort and goodwill, both the optimal advertising strategies and advertising participation rate in the centralized and decentralized settings are given. Th...Show More
The retailer's platform goodwill and the manufacturer's brand goodwill are important factors that influence the consumer's purchasing behavior under a consignment contract. In order to examine these effects on firm's decisions under different channel structures, a supply chain, including a single manufacturer and a single retailer, is considered, where the retailer provides the sales platform and ...Show More
Based on a modified Nerlove-Arrow (N-A) model, we discuss the optimal advertising strategy problem in a single-manufacturer-single-retailer supply chain. Here, the N-A model is allowed to be influenced by the advertising behaviors with the lagged effect. By applying the differential game theory, the optimal advertising strategies of channel members are obtained under the decentralized and centrali...Show More